Interdisciplinary PSP Bioinformatics and Neuroinformatics

BNP50 Mathematical Modelling in biology

Code: BNP50
ECTS Credits: 10
Type: Compulsory
Semester in which offered: First (1^st)
Language of instruction: Greek
Module Outline

Course Content: The content of this module is related to mathematical modeling and in-depth study of algorithm design, dynamic programming, graph theory, data processing, solving algebraic problems, combinatorial optimization problems and decisions in biology

Learning Outcomes:

Upon completion of this module, students will be able to:

describe the concept of an algorithm
design purpose built algorithms
solve combinatorial optimization and decision problems
explain P and NP classes as well as NP-complete problems

Academic Subjects:

Modeling methodologies
Representation Models of Biological Mechanisms

Prerequisite courses: No prerequisites

BNP51 Neurobiology and Modeling of Cellular Systems

Unit Code: BNP51
ECTS credits: 10
Unit Type: Compulsory
Semester in which it is offered:First (1st)
Language of instruction:Greek
Module Outline

Course Content: The content of this module is related to computing in the context of biology and to Biological Computing with DNA and Membranes as well as Biological Computing in the Brain.

Learning Outcomes:

Upon completion of this module, students will be able to:

describe the concept of computation in the context of biology
leverage biological computing
perform biological computations to the brain

Academic Subjects:

Neurobiology
Cellular Systems

Prerequisite courses: No prerequisites

BNP52 Neural Biosignal Recording and Processing

Unit Code: BNP52
ECTS credits: 10
Unit Type: Elective
Semester in which it is offered:First (1st)
Language of instruction:Greek
Module Outline

Course Content: The content of this module is related to neuroscience and the physiology of the human brain, imaging methods and brain signal recording and analysis procedures through appropriate techniques and software.

Learning Outcomes:

Upon completion of this module, students will be able to:

describe the physiology of the human brain
explain the cognitive functions of the brain
describe imaging methods
record brain signals
analyze signals
identify areas of utilization of neurosciences

Academic Subjects:

Identification and study of biosignals
Detection and processing of neural biosignals

Prerequisite courses: No prerequisites.

BNP53 Neural Rehabilitation Engineering

Unit Code: BNP53
ECTS credits: 10
Unit Type: Elective
Semester in which it is offered:First (1st)
Language of instruction:Greek
Module Outline

Course Content: The content of this module is related to Neuroanatomy and Neurobiology and to the categories of diseases of the central nervous system, the peripheral nervous system and the muscular system, as well as the concepts of Regeneration, Plasticity, Mechanical control and the principles of Human Genetics with emphasis on hereditary neurological diseases.

Learning Outcomes:

Upon completion of this module, students will be able to:

describe the basic anatomical and cytobiological elements of the human central and peripheral nervous system
explain the structure and function of groups of nerve cells in areas of the brain and the rest of the body
describe the structure and function of the organelles of neurons
analyze diseases of the central nervous system, the peripheral nervous system and the muscular system

Academic Subjects:

Neuroanatomy
Nerve Rehabilitation

Prerequisite courses: No prerequisites

BNP54 Algorithms in Molecular Biology and Structural Bioinformatics

Unit Code: BNP54
ECTS credits: 10
Unit Type: Compulsory
Semester in which it is offered:Second (2nd)
Language of instruction:Greek
Module Outline

Course Content: The content of this module is related to mapping, sequencing algorithms and to comparison, sequence analysis, evolutionary relationships between different organisms, analysis and prediction of the three-dimensional structure of biological macromolecules, such as proteins, DNA and RNA.

Learning Outcomes:

Upon completion of this module, students will be able to:

describe the structure of biological molecules
analyze the sequence of macromolecules
represent biological molecules
compare structures
predict the three-dimensional structure of biological molecules
describe protein folding and its mechanisms

Academic Subjects:

Molecular Biology Algorithms
Bioinformatics Algorithms

Prerequisite courses: No prerequisites

BNP55 Biological Databases Design and Programming Languages

Unit Code: BNP55
ECTS credits: 10
Unit Type: Compulsory
Semester in which it is offered:Second (2nd)
Language of instruction:Greek
Module Outline

Course Content: The content of this module is related to issues of data structures, design, analysis and mapping of biological databases, Python or Antha with applications to specific topics.

Learning Outcomes:

Upon completion of this module, students will be able to:

design biological databases
execute SQL queries
describe data structures
explain OODs
implement OODs

Academic Subjects:

Database Design
Programming languages for biological data

Prerequisite courses: No prerequisites

BNP56 Biomedical Technology and Medical Imaging Systems

Unit Code: BNP56
ECTS credits: 10
Unit Type: Elective
Semester in which it is offered:Second (2nd)
Language of instruction:Greek
Module Outline

Course Content: The content of this module is related to biomedical technology and to image processing, biomedical signals and medical imaging IT utilization and telecommunications applications in the field of Health.

Learning Outcomes:

Upon completion of this module, students will be able to:

describe the meaning and properties of signals
explain image processing
describe biomedical signals
to utilize medical imaging systems

Academic Subjects:

Medical imaging systems
Medical Image Analysis and Processing

Prerequisite courses: No prerequisites

BNP57 Proteomics, Genomics and Genetics

Unit Code:BNP57
ECTS credits: 10
Unit Type: Elective
Semester in which it is offered:Second (2nd)
Language of instruction:Greek
Module Outline

Course Content: The content of this module is related to sequence similarity analysis, phylogenetic analysis of biological data, proteomic analysis and next-generation sequencing data analysis and to knowledge application of data structure algorithms to computational genomics problems.

Learning Outcomes:

Upon completion of this module, students will be able to:

perform a multitude of analyses
design experiments
apply knowledge of data structure algorithms

Academic Subjects:

Proteomics
Genomics
Genetics

Prerequisite courses: No prerequisites

BNPPD Postgraduate Diplomacy Thesis

Unit Code: BNPPD
ECTS Credits: 30
Unit Type: Compulsory
Semester in which it is offered:Third (3rd)
Language of preparation:Greek or English
Module Outline

General Description:

The dissertation will be of a bibliographical or research nature and the framework of its preparation and grading will be determined by the Regulations of Studies. The language of the dissertations is either Greek or English.

Course Content: The postgraduate thesis is meant to combine and utilize the knowledge students have acquired over the module of their studies. Students may propose a topic of their choosing for their Postgraduate Diploma Thesis, taking into account a special list of topics (with detailed descriptions) drafted by the T.U. Coordinators. This list is drafted based on the wider subject matter of the postgraduate studies program, as well as those of the six individual T.U. Students must prepare the final topic and description of the Postgraduate Diploma Thesis in collaboration with the counselor.

Indicative topics for research:

Mathematical Modeling in the fields of Biology and Medicine
Neurobiology Algorithms and Techniques
Modeling of Cellular Systems by NGS techniques
Neural Rehabilitation Engineering
Advanced Algorithms in Molecular Biology
Medical Imaging Systems
Methods of omics analysis.

Learning Outcomes:

Upon completion of this module, students will be able to:

applied mathematics
system modeling and simulation
bioinformatics
computational biology
neuroinformatics
neurosciences

For more information regarding the Specifications – Useful Material for writing An MSc Dissertation and submitting it to HOU Repository, please visit the portal http://courses.eap.gr. The General Regulation for the presentation of an MSc Dissertation in postgraduate degree programmes organized on a semi-annual basis is available at https://www.eap.gr/semi-annual-programs/

Prerequisites: The presentation of the Dissertation takes place after successful completion of the program’s Modules.

Laboratory Training (LT BNP)

The BNP is reinforced with laboratory training. The laboratory training will take place between 4-14 March each year. Students who have successfully completed the first semester of the programme will be eligible to participate.

The laboratory training is compulsory, is not weighted by grades and takes place with physical presence at the Laboratory of Bioinformatics and Human Electrophysiology at the Ionian University of Corfu.